Google the name dgesdd to get the documentation where you will find that the error code indicates that the SVD algorithm failed to converge. Evaluation of the singular values and vectors is done via an iterative optimization and on some occasions will fail to converge. Frequently this is related to the scaling of the matrix. If some rows or columns are a very large magnitude relative to others the convergence of the optimization can be impeded.
Providing a reproducible example of such an error condition will help in diagnosing what is happening. If you wonder why the error message is so enigmatic, it is because the underlying code is Fortran and does not provide much flexibility for informative error trapping. On Tue, May 4, 2010 at 1:24 AM, steven mosher <mosherste...@gmail.com> wrote: > Error in La.svd(x, nu, nv) : error code 1 from Lapack routine ‘dgesdd’ > > what resources are there to track down errors like this > > [[alternative HTML version deleted]] > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.